2023

• Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo, “Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice”, International Conference on Machine Learning (ICML), 2023
• Yunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Rémi Munos, Bernardo Ávila Pires, Michal Valk, ”DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm”, International Conference on Machine Learning (ICML), 2023
• Côme Fiegel, Pierre MENARD, Tadashi Kozuno, Rémi Munos, Vianney Perchet, Michal Valko, “Adapting to game trees in zero-sum imperfect information games”, International Conference on Machine Learning (ICML), 2023. Outstanding Paper Award
• Masafumi Endo, Tatsunori Taniai, Ryo Yonetani, Genya Ishigami, “Risk-aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains”, IEEE International Conference on Robotics and Automation (ICRA), 2023
• Hikaru Asano, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno, “Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation”, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023
• Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe, “Benchmarking Action-Constrained Deep Reinforcement Learning”, IEEE Robotics and Automation Letters (RA-L), 2023
• Kazumi Kasaura, Ryo Yonetani, Mai Nishimura, “Periodic Multi-Agent Path Planning” AAAI Conference on Artificial Intelligence (AAAI), 2023
• Mai Nishimura, Shohei Nobuhara, Ko Nishino, “View Birdificatoin in the Crowd: Ground-Plane Localization from Perceived Movements”, International Journal of Computer Vision (IJCV), 2023

2022

• Mai Nishimura, Shohei Nobuhara, Ko Nishino, “ViewBirdiformer: Learning to recover ground-plane crowd trajectories and ego-motion from a single ego-centric view”, IEEE Robotics and Automation Letters (RA-L), 2022 [paper]
• Kazumi Kasaura, Mai Nishimura, Ryo Yonetani, “Prioritized Safe Interval Path Planning for Multi-Agent Pathfinding with Continuous Time on 2D Roadmaps”, IEEE Robotics and Automation Letters (RA-L), 2022. [paper][project page]
• Sotaro Katayama, Tatsunori Taniai, Kazutoshi Tanaka, “Quasistatic contact-rich manipulation via linear complementarity quadratic programming”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 [paper][project page]
• Mutsuki Nakahara, Mai Nishimura, Yoshitaka Ushiku, Takayuki Nishio, Kazuki Maruta, Yu Nakayama, Daisuke Hisano, “Edge Computing-Assisted DNN Image Recognition System with Progressive Image Retransmission”, IEEE Access, 2022 [paper]
• Keisuke Okumura, Ryo Yoetani, Mai Nishimura, and Asako Kanezaki, “CTRMs: Learning Cooperative Timed Roadmaps for Multi-Agent Path Planning in Continuous Spaces”, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022 [paper][project page]
• Atsushi Hashimoto, Taichi Nishimura, Yoshitaka Ushiku, Hirotaka Kameko, and Shinsuke Mori, “Cross-modal Representation Learning for understanding Manufacturing Procedure”, International Conference on Human-Computer Interaction (HCII), 2022

2021

• Mai Nishimura, Shohei Nobuhara, and Ko Nishino, “View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements”, British Machine Vision Conference (BMVC), 2021 [paper]
• Kazutoshi Tanaka, Yuji Tokudome, Yuna Minami, Satoko Honda, Toshiki Nakajima, Kuniharu Takei, and Kohei Nakajima, “Self-Organization of Remote Reservoirs: Transferring Computation to Spatially Distant Locations”, Advanced Intelligent Systems, 2021 [paper]
• Toshinori Kitamura and Ryo Yonetani, “ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives”, NeurIPS Deep RL Workshop, 2021 [paper] [project page]
• Kazutoshi Tanaka, Masashi Hamaya, Devwrat Joshi, Felix von Drigalski, Ryo Yonetani, Takamitsu Matsubara, and Yoshihisa Ijiri, “Learning Robotic Contact Juggling”, IEEE International Workshop on Intelligent Robots and Systems (IROS), 2021 [paper]
• Mutsuki Nakahara, Daisuke Hisano, Mai Nishimura, Yoshitaka Ushiku, Kazuki Maruta, and Yu Nakayama, “Retransmission Edge Computing System Conducting Adaptive Image Compression Based on Image Recognition Accuracy”, IEEE Conference on Vehicular Technology (VTC), 2021 [paper]
• Taichi Nishimura, Atsushi Hashimoto, Yoshitaka Ushiku, Hirotaka Kameko, and Shinsuke Mori, “State-aware Video Procedural Captioning”, ACM Multimedia (ACMMM), 2021 [paper]
• Taichi Nishimura, Kojiro Sakoda, Atsushi Hashimoto, Yoshitaka Ushiku, Natsuko Tanaka, Fumihito Ono, Hirotaka Kameko, and Shinsuke Mori, “Egocentric Biochemical Video-and-Language Dataset”, ICCV Workshop on Closing the Loop Between Vision and Language, 2021 [paper]
• Takayuki Murooka, Masashi Hamaya, Felix von Drigalski, Kazutoshi Tanaka, and Yoshihisa Ijiri, “Iterative Backpropagation Disturbance Observer with Forward Dynamics Model”, IEEE International Conference on Automation Science and Engineering (CASE), 2021 [paper]
• Takehiko Ohkawa, Takuma Yagi, Atsushi Hashimoto, Yoshitaka Ushiku, and Yoichi Sato, “Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation”, IEEE Access, vol.9, pp.94644–94655, 2021 [paper].
• Ryo Yonetani*, Tatsunori Taniai*, Mohammadamin Barekatain, Mai Nishimura, and Asako Kanezaki, “Path Planning using Neural A* Search”, International Conference on Machine Learning (ICML), PMLR 139, pp.12029–12039, 2021 [paper][project page].
• Yu Qing, Atsushi Hashimoto, and Yoshitaka Ushiku, “Divergence Optimization for Noisy Universal Domain Adaptation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.2515–2524, 2021[paper].
• Masashi Hamaya, Kazutoshi Tanaka, Yoshiya Shibata, Felix von Drigalski, Chisato Nakashima, and Yoshihisa Ijiri, “Robotic Learning From Advisory and Adversarial Interactions Using a Soft Wrist”, IEEE Robotics and Automation Letters (RA-L) with RoboSoft option, vol. 6, no. 2, pp. 3878–3885, 2021 [paper].
• Felix von Drigalski, Devwrat Omkar Joshi, Takayuki Murooka, Kazutoshi Tanaka, Masashi Hamaya, and Yoshihisa Ijiri, “An analytical diabolo model for robotic learning and control”, IEEE International Conference on Robotics and Automation (ICRA), 2021 [paper][slide].
• Felix von Drigalski, Kennosuke Hayashi, Yifei Huang, Ryo Yonetani, Masashi Hamaya, Kazutoshi Tanaka, and Yoshihisa Ijiri, “Precise Multi-Modal In-Hand Pose Estimation using Low-Precision Sensors for Robotic Assembly”, IEEE International Conference on Robotics and Automation (ICRA), 2021 [slide].
• Kazutoshi Tanaka, Ryo Yonetani, Masashi Hamaya, Robert Lee, Felix von Drigalski, and Yoshihisa Ijiri, “TRANS-AM: Transfer Learning by Aggregating Dynamics Models for Soft Robotic Assembly”, IEEE International Conference on Robotics and Automation (ICRA), 2021 [project page][slide].
• Ukyo Honda, Atsushi Hashimoto, Yoshitaka Ushiku, Taro Watanabe, and Yuji Matsumoto, “Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning”, Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp.3692–3702, 2021 [paper].
• Kazutoshi Tanaka, Shih-Hsin Yang, Yuji Tokudome, Yuna Minami, Yuyao Lu, Takayuki Arie, Seiji Akita, Kuniharu Takei, and Kohei Nakajima, “Flapping-Wing Dynamics as a Natural Detector of Wind Direction”, Advanced Intelligent Systems, Vol.3, No.2, 2021 [paper].
• Yuta Kamikawa, Atsushi Hashimoto, Motoharu Sonogashira, and Masaaki Iiyama, “Curiosity Guided Fine-tuning for Encoder-Decoder-based Visual Forecasting”, IEICE Transactions on Information and Systems, Vol.E104-D, Issue 5, pp.752–761, 2021 [paper].

2020

• Hiroaki Minoura, Ryo Yonetani, Mai Nishimura, and Yoshitaka Ushiku, “Crowd Density Forecasting by Modeling Patch-based Dynamics”, IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 2, pp.287–294, 2020 [paper].
• Taichi Nishimura, Atsushi Hashimoto, Yoshitaka Ushiku, Hirotaka Kameko, Yoko Yamakata, and Shinsuke Mori, “Structure-Aware Procedural Text Generation from an Image Sequence”, IEEE Access, vol.9, pp.2125–2141, 2020 [paper].
• Taichi Nishimura, Suzushi Tomori, Hayato Hashimoto, Atsushi Hashimoto, Yoko Yamakata, Jun Harashima, Yoshitaka Ushiku, and Shinsuke Mori, “Visual Grounding Annotation of Recipe Flow Graph”, Language Resources and Evaluation Conference (LREC), pp.4275–4284, 2020 [paper].
• Kazutoshi Tanaka, Yuji Tokudome, Yuna Minami, Satoko Honda, Kuniharu Takei, and Kohei Nakajima, “Self-Organized Soft Reservoirs”, ICRA2020 Workshop.
• Ryuhei Takahashi, Atsushi Hashimoto, Motoharu Sonogashira, and Masaaki Iiyama, “Partially-shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift”, European Conference on Computer Vision (ECCV), 2020 [paper][project page].
• Takayuki Murooka, Masashi Hamaya, Felix von Drigalski, Kazutoshi Tanaka, and Yoshihisa Ijiri, “EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer”, Conference on Robot Learning (CoRL), 2020 [paper].
• Mai Nishimura and Ryo Yonetani, “L2B: Learning to Balance the Safety-Efficiency Trade-Off in Interactive Crowd-Aware Robot Navigation”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.11004–11010, 2020 [paper][project page].
• Felix von Drigalski, Kazutoshi Tanaka, Masashi Hamaya, Robert Lee, Chisato Nakashima, Yoshiya Shibata, and Yoshihisa Ijiri, “A Compact, Cable-Driven, Activatable Soft Wrist with Six Degrees of Freedom for Assembly Tasks”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.8752–8757, 2020 [paper].
• Nie Kaidi, Felix von Drigalski, et al., “Team O2AS Approach for Task-board Task of WRC 2018”, Advanced Robotics, vol.34, pp.477–498, 2020 [paper].
• Masashi Hamaya, Felix von Drigalski, Takamitsu Matsubara, Kazutoshi Tanaka, Robert Lee, Chisato Nakashima, and Yoshiya Shibata, “Learning soft- robotic assembly strategies from successful and failed demonstrations”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.8309–8315, 2020 [paper].
• Matthew Ishige, Takuya Umedachi, Yoshihisa Ijiri, Tadahiro Taniguchi, and Yoshihiro Kawahara, “Blind Bin Picking of Small Screw through In-finger Manipulation with Compliant Robotic Fingers”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.9337–9344, 2020 [paper].
• Shinya Michibata, Katsufumi Inoue, Michifumi Yoshioka, and Atsushi Hashimoto, “Cooking Activity Recognition in Egocentric Videos with a Hand Mask Image Branch in the Multi-stream CNN”, Workshop on Multimedia for Cooking and Eating Activities (CEA), 2020 [paper].
• Mohammadamin Barekatain, Ryo Yonetani, and Masashi Hamaya, “MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics”, International Joint Conference on Artificial Intelligence (IJCAI), pp.3108–3116, 2020 [paper][project page].
• Jiaxin Ma, Ryo Yonetani, and Zahid Iqbal, “Adaptive Distillation for Decentralized Learning from Heterogeneous Clients”, International Conference on Pattern Recognition (ICPR), pp. 7486–7492, 2020 [paper].
• Takayuki Murooka, Artur Istvan Karoly, Felix von Drigalski, and Yoshihisa Ijiri, “Simultaneous Planning of Grasp and Motion using Sample Regions and Gradient-Based Optimization”, IEEE International Conference on Automation Science and Engineering (CASE), pp.1102–1109, 2020 [paper].
• Matthew Ishige, Yoshihisa Ijiri, Takuya Umedachi, and Yoshihiro Kawahara, “In-Hand Small-Object Counting from Tactile Sensor Arrays Installed on Soft Fingertips”, IEEE International Conference on Soft Robotics (Robosoft), pp. 272–277, 2020.

2019

• Masashi Hamaya, Takamitsu Matsubara, Tatsuya Teramae, Tomoyuki Noda, and Jun Morimoto, “Design of physical user-robot interactions for model identification of soft actuators on exoskeleton robots”, The International Journal of Robotics Research (IJRR), Vol.40, Issue 1, pp.397–410, 2019 [paper].
• Yuki Fujimura, Masaaki Iiyama, Atsushi Hashimoto, and Michihiko Minoh, “Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7445–7453, 2018.